Dynamic Data Tile Interface for Browser-Based Latency Reduction
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Solution Overview
Problem
Current data analysis systems, particularly large-scale datacenters, suffer from latency issues, inefficiencies in handling irregular user behavior, and limitations in screen space utilization, leading to slow user experiences and cumbersome interactions when processing large volumes of data.
Innovation Solution
A browser-based, interactive user interface that allows data filtering and processing of millions of data cells locally, optimizing the interface for user behavior patterns by dynamically updating relevant data, reformatting tiles, and enabling real-time updates without the need for high-powered processors or significant bandwidth, allowing users to interactively manage and visualize data efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If large-scale datacenters are used to process large volumes of data, then processing speed increases, but user experience becomes slow due to inherent latency in task distribution and coordination
Solution Approach 1:
The system segments data into tiles that can be independently loaded, processed, and displayed. Each tile represents a manageable unit of data that can be handled locally in the browser without requiring centralized coordination for every interaction, thus reducing latency while maintaining processing capability.
Solution Approach 2:
The patent transitions from a centralized server-based processing model to a distributed client-side processing model. By moving data processing capabilities to the user's browser environment, the system eliminates the latency inherent in server-client communication cycles while maintaining large-scale data processing through tiled data structures.
2Power
If large-scale datacenters with advanced task distribution are used, then processing capability increases, but interface configuration becomes cumbersome and inefficient for specialized user interactions
Solution Approach 1:
The system enables users to directly interact with and manipulate data tiles in the browser without requiring complex backend configuration. Users can filter, sort, and analyze data locally, with the interface automatically adapting to user actions without cumbersome setup procedures, thus improving ease of operation while maintaining processing power.
Solution Approach 2:
The interface dynamically adapts to user interactions by automatically reconfiguring tile displays and filtering options based on user actions. This dynamic behavior eliminates the need for manual configuration steps, making the interface easier to operate while preserving the underlying processing capability through automatic local computation.
3Ease of operation
If monitors with limited sizes and resolutions are used, then device portability and accessibility improve, but the amount of information that can be displayed is limited
Solution Approach 1:
The system divides large datasets into smaller tiles that can be displayed on standard monitors. Each tile presents a manageable portion of the data, and users can navigate between tiles to access the complete information set, effectively overcoming screen size limitations while maintaining device accessibility.
Solution Approach 2:
The patent implements a nested structure where multiple tiles are organized in a grid layout on the screen. Each tile contains a subset of data, and the collection of tiles represents the complete dataset. This nested organization allows comprehensive information display on limited screen real estate through systematic tile navigation and arrangement.
Data Source
AI summary
Browser-based, performant interactive user interface can allow a user to perform filtering of data via a browser application, and process millions of data cells that are loaded into the browser. The interactive user interface can be customized and optimized for a classification of users with regular behavior patterns, for example, by displaying a plurality of tiles depicting a subset of data associated with a plurality of data objects. Moreover, a user can select portions of data within an individual tile and propagate the selection automatically through all remaining tiles on the interactive user interface.